gimme (version 0.1-1)

semigimme: Semi-confirmatory group iterative multiple model estimation.

Description

This function identifies structural equation models consisting of group- and individual-level paths. The unique feature of this function is the ability to specify relations (paths) with which to begin model estimation.

Usage

semigimme(paths = ,
          data = "", 
          sep = "", 
          header = , 
          out = "",
          ar = FALSE, 
          plot = TRUE)

Arguments

paths

Comma separated vector containing paths with which to begin estimation, written in the style of lavaan syntax. That is, Y~X indicates that Y is regressed on X, or X predicts Y. If no header is used, then variables should be referred to with VAR followed (

data

Path to the directory where the data files are located. Each file must contain one matrix for each individual containing a T (time) by p (number of variables) matrix where the columns represent variables and the rows represent time.

sep

The spacing of the data files. "" indicates space-delimited, "/t" indicates tab-delimited, "," indicates comma delimited.

header

Logical. Indicate TRUE for data files with a header.

out

The path to the directory where the results will be stored. This directory must be generated by the user prior to running the function.

ar

Logical. If TRUE, begins search for group model with autoregressive (AR) paths open. Defaults to FALSE.

plot

Logical. If TRUE, graphs depicting relations among variables of interest will automatically be created. Defaults to TRUE.

Value

• all.elements.summary
  Contains summary information for paths identified at the group- and individual-level.
• all.elements
  Contains information for all paths identified at the group- and individual-level.
• all.fit
  Contains model fit information for individual-level models.

Examples

semigimme.out <- semigimme(paths=c("VAR10~VAR6","VAR8~VAR3lag","VAR4~VAR3"),
                 data = "C:/data100",
                 sep = ",",
                 header = FALSE,
                 out = "C:/data100_semigimme_out",
                 ar = TRUE,
                 plot = TRUE)